You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
An intracranial pressure-derived index monitored simultaneously from two separate sensors in patients with cerebral bleeds: comparison of findings
|
|---|---|
| Published in |
BioMedical Engineering OnLine, February 2013
|
| DOI | 10.1186/1475-925x-12-14 |
| Pubmed ID | |
| Authors |
Per Kristian Eide, Wilhelm Sorteberg |
| Abstract |
In an attempt to characterize the intracranial pressure-volume compensatory reserve capacity, the correlation coefficient (R) between the ICP wave amplitude (A) and the ICP (P) level (RAP) has been applied in the surveillance of neurosurgical patients. However, as the ICP level may become altered by electrostatic discharges, human factors, technical factors and technology issues related to the ICP sensors, erroneous ICP scores may become revealed to the physician, and also become incorporated into the calculated RAP index. To evaluate the problem with regard to the RAP, we compared simultaneous RAP values from two separate ICP signals in the same patient. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 17% |
| Researcher | 3 | 17% |
| Student > Ph. D. Student | 3 | 17% |
| Student > Postgraduate | 2 | 11% |
| Student > Doctoral Student | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 28% |
| Medicine and Dentistry | 3 | 17% |
| Neuroscience | 3 | 17% |
| Computer Science | 2 | 11% |
| Social Sciences | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 2 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2013.
All research outputs
#20,182,546
of 22,696,971 outputs
Outputs from BioMedical Engineering OnLine
#691
of 821 outputs
Outputs of similar age
#253,555
of 287,582 outputs
Outputs of similar age from BioMedical Engineering OnLine
#30
of 34 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,582 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.